{"pageNumber":"85","pageRowStart":"2100","pageSize":"25","recordCount":184652,"records":[{"id":70264814,"text":"70264814 - 2025 - New paleomagnetic constraints on the eruption timing, stratigraphy, and post-emplacement deformation of the Picture Gorge Basalt within the Columbia River Basalt Group","interactions":[],"lastModifiedDate":"2025-05-12T17:23:12.440493","indexId":"70264814","displayToPublicDate":"2025-03-23T08:08:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"New paleomagnetic constraints on the eruption timing, stratigraphy, and post-emplacement deformation of the Picture Gorge Basalt within the Columbia River Basalt Group","docAbstract":"The Picture Gorge Basalt (PGB) is part of the Miocene Columbia River Basalt Group (CRBG).\nThe PGB, which outcrops in eastern Oregon, is considered coincident in time with the voluminous Grande Ronde Basalt. New radiometric ages have expanded the age‐range of the PGB, suggesting it began erupting prior to the Steens Basalt to its south and continued until after cessation of the Grande Ronde Basalt eruptions, an interval of 1.5 Ma. However, the existing paleomagnetism of the PGB implies this eruption timeline is an overestimate. To reconcile the radiometric and paleomagnetic timescales for the PGB, we conducted a paleomagnetic study on sections of the PGB to construct a detailed, high‐quality magnetostratigraphy. Our data indicate the stratigraphically lowest lava flows in the PGB are of reversed polarity, revealing a new paleomagnetic transition with the PGB and a reversed (R)–normal (N)–reversed (R) sequence. This suggests one of two timeline possibilities for PGB volcanism: (a) eruptions began and during through CRBG polarity chrons R0–N0–R1, penecontemporaneous with Steens Basalt, or (b) eruptions began and persisted during CRBG polarity chrons R1–N1–R2. Our work supports a longer interval of PGB volcanism than was suggested by previous paleomagnetic data but is at odds with the suggestion that PGB eruptions lasted through the entire main CRBG. We favor a scenario wherein PGB eruptions begin with R0 and continue into the R1 paleomagnetic interval. The paleomagnetic results also record a ∼18° vertical‐axis rotation of east‐central Oregon after ∼16 Ma with respect to stable North America.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB030728","usgsCitation":"Pivarunas, A.F., Avery, M.S., Hagstrum, J.T., Bennett, S.E., and Calvert, A.T., 2025, New paleomagnetic constraints on the eruption timing, stratigraphy, and post-emplacement deformation of the Picture Gorge Basalt within the Columbia River Basalt Group: Journal of Geophysical Research: Solid Earth, v. 130, no. 3, e2024JB030728, 22 p., https://doi.org/10.1029/2024JB030728.","productDescription":"e2024JB030728, 22 p.","ipdsId":"IP-164403","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":483811,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Picture Gorge Basalt","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.78165767306925,\n              45.33100443084706\n            ],\n            [\n              -120.78165767306925,\n              44.91041597686524\n            ],\n            [\n              -120.04351223849272,\n              44.91041597686524\n            ],\n            [\n              -120.04351223849272,\n              45.33100443084706\n            ],\n            [\n              -120.78165767306925,\n              45.33100443084706\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pivarunas, Anthony Francis 0000-0002-0003-2059","orcid":"https://orcid.org/0000-0002-0003-2059","contributorId":301014,"corporation":false,"usgs":true,"family":"Pivarunas","given":"Anthony","email":"","middleInitial":"Francis","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avery, Margaret Susan 0000-0002-8504-7072","orcid":"https://orcid.org/0000-0002-8504-7072","contributorId":329991,"corporation":false,"usgs":true,"family":"Avery","given":"Margaret","email":"","middleInitial":"Susan","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagstrum, Jonathan T. 0000-0002-0689-280X jhag@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-280X","contributorId":3474,"corporation":false,"usgs":true,"family":"Hagstrum","given":"Jonathan","email":"jhag@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":931819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":931820,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269982,"text":"70269982 - 2025 - Predicting invasiveness of freshwater fishes imported into North America: Regional differences in models and outcomes","interactions":[],"lastModifiedDate":"2025-08-07T15:54:16.040989","indexId":"70269982","displayToPublicDate":"2025-03-22T10:47:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Predicting invasiveness of freshwater fishes imported into North America: Regional differences in models and outcomes","docAbstract":"<p><span>Biological invasions driven by international trade heighten the urgency for development of invasion risk models, as the traits and parameters that consistently predict successful invasion remain unresolved. For four regions of North America that include parts of the United States and Canada (Sacramento-San Joaquin River Basins, Lower Colorado River Basin, Great Lakes Region, Mid-Atlantic Region), we construct and compare classification tree models to reveal robust predictors for the establishment and ecological impact stages of freshwater fish invasion. We subsequently apply the models to identify invasive fish species in trade and conduct pathway analyses to determine which trades (aquarium, biological supply, live bait, live food, water garden) and source continents pose the greatest risk to each region. Model results differed by invasion stage and region. Across regions, establishment models shared climate-related predictors including climate match and temperature tolerance. Three of the four impact models contained prior establishment success. The greatest number of species (548) were predicted to establish in the Sacramento-San Joaquin while the fewest (5) were predicted to establish in the Mid-Atlantic. Forty species were predicted to establish in multiple regions, five of which were also predicted to have high impact. The aquarium trade and Asia supplied the most species predicted to establish. Taken together, the results highlight region-specific models, indicating no universal model predicts invasion. Climate-related and prior establishment variables were most useful to risk assessments. The regional models, and identified high-risk pathways and potential invaders, could be applied to prevent future fish invasions in North America.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-025-03560-1","usgsCitation":"Howeth, J., Amjad, S., Gantz, C., Mandrak, N., Angermeier, P., Marchetti, M., Olden, J., and Lodge, D., 2025, Predicting invasiveness of freshwater fishes imported into North America: Regional differences in models and outcomes: Biological Invasions, v. 27, 107, 26 p., https://doi.org/10.1007/s10530-025-03560-1.","productDescription":"107, 26 p.","ipdsId":"IP-171323","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493802,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-025-03560-1","text":"Publisher Index 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Alabama","active":true,"usgs":false}],"preferred":false,"id":945123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gantz, Crysta A.","contributorId":359288,"corporation":false,"usgs":false,"family":"Gantz","given":"Crysta A.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":945124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mandrak, Nicholas E.","contributorId":359290,"corporation":false,"usgs":false,"family":"Mandrak","given":"Nicholas E.","affiliations":[{"id":67687,"text":"University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":945125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angermeier, Paul L. 0000-0003-2864-170X","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":204519,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul L.","affiliations":[{"id":199,"text":"Coop Res Unit 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,{"id":70266168,"text":"70266168 - 2025 - Predicting bat roosts in bridges using Bayesian Additive Regression Trees","interactions":[],"lastModifiedDate":"2025-04-30T14:55:09.773729","indexId":"70266168","displayToPublicDate":"2025-03-22T08:11:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Predicting bat roosts in bridges using Bayesian Additive Regression Trees","docAbstract":"Human-built structures can provide important habitat for wildlife, but predicting which structures are most likely to be used remains challenging. To evaluate the predictive capabilities of data-driven ensemble modeling approaches, we conducted surveys for bats and signs of bat use, such as urine and guano staining, at bridges across the southwestern United States. We developed a bat roost discovery tool using Bayesian Additive Regression Trees (BART) and evaluated the predictive ability of this model against other commonly used approaches. We found that the lack of nearby water resources was associated with a lower predicted probability of bat presence or signs of bat use at bridges. While the presence of nearby water resources was associated with higher average predicted probability of bat presence or signs of bat use, high uncertainty surrounding these estimates indicates that other factors also play a role in determining which bridge roosts bats are more likely to use. As such, our model could be particularly useful for predicting which bridges can be excluded from survey efforts due to low probability of bat presence or signs of bat use. We extrapolated our model to unsurveyed bridges across the study region and provide an interactive dashboard application interface for the exploration of these results. Overall, this study demonstrates the application of BART as a predictive tool for prioritizing future bridge surveys for bats roosting in transportation structures.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2025.e03551","usgsCitation":"Oram, J., Wray, A.K., Davis, H.T., de Wit, L., Frick, W.F., Hoegh, A.B., Irvine, K.M., Pollock, P., Schuhmann, A.N., Tousley, F.C., and Reichert, B., 2025, Predicting bat roosts in bridges using Bayesian Additive Regression Trees: Global Ecology and Conservation, v. 60, e03551, 12 p., https://doi.org/10.1016/j.gecco.2025.e03551.","productDescription":"e03551, 12 p.","ipdsId":"IP-176127","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":490934,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14HVQHW","text":"USGS data release","linkHelpText":"North American Bat Monitoring Program (NABat) OneHealth (ver. 2.0, June 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However, the full value of repeat spectroscopy, the information embedded within different temporal scales, and the reliability of existing algorithms across diverse ecosystem types and vegetation phenophases have remained elusive due to the absence of suitable sub-seasonal spectroscopy data. In response, the Surface Biology and Geology (SBG) High-Frequency Time Series (SHIFT) campaign was initiated during late February 2022 in Santa Barbara County, California. SHIFT, designed to support NASA's SBG mission, addressed mission scoping, scientific advancement, applications development, and community building. This ambitious endeavor included weekly Airborne Visible InfraRed Imaging Spectrometer-Next Generation (AVIRIS-NG) imagery acquisitions for 13 weeks (spanning February 24 to May 29, 2022), accompanied by coordinated terrestrial vegetation and coastal aquatic data collection. 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,{"id":70265231,"text":"70265231 - 2025 - Linking environmental variability to long-term demographic change of an endangered species using integrated population models","interactions":[],"lastModifiedDate":"2025-05-12T15:43:41.572164","indexId":"70265231","displayToPublicDate":"2025-03-21T09:21:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Linking environmental variability to long-term demographic change of an endangered species using integrated population models","docAbstract":"<ol class=\"\"><li>Understanding how species populations change with environmental conditions is important for implementing effective habitat management and conservation strategies. Challenges to evaluating population-level responses to environmental conditions arise when data are sparse or not spatiotemporally aligned, especially for at-risk species with small, declining numbers.</li><li>We synthesized 30 years (1992–2021) of three partially aligned data sets to build a Bayesian integrated population model (IPM) and evaluate demographic and environmental drivers of growth rates for six separately managed ‘subpopulations’ (A–F) of the federally endangered Cape Sable seaside sparrow endemic to the Florida Everglades.</li><li>We found that juvenile survival peaked at inundation periods (hydroperiods) around 100–220 days and dropped sharply outside those values, while adult survival increased with longer periods of water depth &lt;20 cm, but not with longer periods of water depth &gt;20 cm. Fecundity increased when water depths were more stable, more area was dry, intervals between fires were longer and less area was burned.</li><li>Changes in population growth rates tended to occur in years that juvenile and adult survival were associated with hydroperiod, especially in the two largest subpopulations B and E. Population growth rates were also associated with hydrologic conditions during the breeding season and fire dynamics through changes in fecundity, most notably in the smaller subpopulations A, C/F and D.</li><li><i>Synthesis and applications</i>. Our IPM represents the first long-term population analysis of the Cape Sable seaside sparrow connecting demographic processes to environmental factors. Our results suggest that sustaining periods of shallow water year-round may enhance Cape Sable seaside sparrow survival and population growth. Also, limiting water depth variability and maintaining dry conditions during the breeding season and inhibiting fires in consecutive years may increase fecundity and population growth. Identifying the mechanistic links between environmental and population dynamics could inform how species are expected to respond to management decisions and anticipated ecosystem changes.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.70038","collaboration":"U.S. Fish and Wildlife Service, National Park Service","usgsCitation":"Martinez, M.T., D’Acunto, L., and Romanach, S., 2025, Linking environmental variability to long-term demographic change of an endangered species using integrated population models: Journal of Applied Ecology, v. 62, no. 5, p. 1137-1151, https://doi.org/10.1111/1365-2664.70038.","productDescription":"15 p.","startPage":"1137","endPage":"1151","ipdsId":"IP-163974","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488471,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.70038","text":"Publisher Index Page"},{"id":484130,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.27756478832899,\n              25.9167\n            ],\n            [\n              -81.27756478832899,\n              25.0833\n            ],\n            [\n              -80.40679117600436,\n              25.0833\n            ],\n            [\n              -80.40679117600436,\n              25.9167\n            ],\n            [\n              -81.27756478832899,\n              25.9167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Martinez, Marisa Takada 0000-0002-1915-6019","orcid":"https://orcid.org/0000-0002-1915-6019","contributorId":304805,"corporation":false,"usgs":true,"family":"Martinez","given":"Marisa","email":"","middleInitial":"Takada","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":932551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":932552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":223479,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":932553,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265260,"text":"70265260 - 2025 - Drought in the Delta: Socio-ecological impacts, responses, and tools","interactions":[],"lastModifiedDate":"2025-04-03T23:10:53.927858","indexId":"70265260","displayToPublicDate":"2025-03-20T15:43:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Drought in the Delta: Socio-ecological impacts, responses, and tools","docAbstract":"Droughts are frequent events in the western United States, and can disrupt water supply and degrade water quality, challenging water management in the Sacramento–San Joaquin Delta (Delta). This chapter for the State of Bay–Delta Science report describes what drought means for the Delta, how drought is managed in the Delta, and how drought management has changed over time. Projections of future climate indicate the possibility of increased frequency and severity of droughts which would have increasing effects on California’s water system, society, and ecological functions within and beyond the Delta. California has experienced several major droughts in the 20th and 21st centuries, each of which has caused significant social and ecological impacts and motivated improvements in water management. Droughts decrease native fish populations, increase harmful algal blooms, and promote the spread of many invasive plant and animal species. For people living within the Delta and those that rely on Delta water exports, droughts increase drinking water costs and decrease agricultural production, negatively affecting agricultural economies and labor markets. Tools developed in response to droughts include actions that increase supply, such as building water infrastructure, actions to reduce demand, such as water conservation campaigns, and mitigation actions, such as monetary relief for drought-impacted communities. Improving drought resilience requires development of additional drought responses, increased forecasting accuracy, and increased awareness of impacts on vulnerable communities and ecosystems. Even with development of additional management actions, strategies, and regulations, there will likely be difficulties meeting the current levels of demand for water. Drought conditions already cause conflict between human and environmental uses, and with more extreme droughts possible in the future and projected increases in demand, it will be challenging to provide for all users’ needs even with major changes to water management in the Delta.","language":"English","publisher":"San Francisco Estuary and Watershed Science","doi":"10.15447/sfews.2025v23iss1art3","usgsCitation":"Hartman, R., Knowles, N., Fencl, A., and Ekstrom, J., 2025, Drought in the Delta: Socio-ecological impacts, responses, and tools: San Francisco Estuary and Watershed Science, v. 23, no. 1, 3, 62 p., https://doi.org/10.15447/sfews.2025v23iss1art3.","productDescription":"3, 62 p.","ipdsId":"IP-165574","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":488603,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2025v23iss1art3","text":"Publisher Index Page"},{"id":484181,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.34896936938145,\n              38.77286456314664\n            ],\n            [\n              -123.34896936938145,\n              36.830761244624284\n            ],\n            [\n              -120.62613364311007,\n              36.830761244624284\n            ],\n            [\n              -120.62613364311007,\n              38.77286456314664\n            ],\n            [\n              -123.34896936938145,\n              38.77286456314664\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hartman, Rosemary","contributorId":352954,"corporation":false,"usgs":false,"family":"Hartman","given":"Rosemary","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":932621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knowles, Noah 0000-0001-5652-1049","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":206338,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":932622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fencl, Amanda","contributorId":352956,"corporation":false,"usgs":false,"family":"Fencl","given":"Amanda","affiliations":[{"id":27801,"text":"Union of Concerned Scientists","active":true,"usgs":false}],"preferred":false,"id":932623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ekstrom, Julia","contributorId":352958,"corporation":false,"usgs":false,"family":"Ekstrom","given":"Julia","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":932624,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264694,"text":"ofr20251004 - 2025 - Science needs for determining the effects of climate change on harmful algal blooms in the southeastern United States","interactions":[],"lastModifiedDate":"2025-03-26T19:46:15.392167","indexId":"ofr20251004","displayToPublicDate":"2025-03-20T13:10:17","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1004","displayTitle":"Science Needs for Determining the Effects of Climate Change on Harmful Algal Blooms in the Southeastern United States","title":"Science needs for determining the effects of climate change on harmful algal blooms in the southeastern United States","docAbstract":"<p>The Southeastern United States has many lakes, streams, and reservoirs that serve as important drinking water sources with recreational, agricultural, and ecological uses. However, harmful algal blooms (HABs) are becoming more common in these waters, causing health issues for humans and animals. HABs have been listed as a contaminant of emerging concern, and the magnitude, frequency, and duration of HABs appear to be increasing at the global scale. While it is well known that nutrients stimulate algae growth, it is not clear how climate change and other parameters stimulate the development of toxin production by HABs. The scientific literature describes parameters, such as storm occurrence, temperature, dissolved metals, erosion of soils, increasing length of growing season, discharge, and hydroperiod, that may affect algae growth and toxin production. Climate and hydrologic models address many of the physical and environmental parameters that influence HABs, but no climate models directly address HABs. This report compiles information from the existing literature pertaining to HABs and the modeling and forecasting of HABS. This compilation is done through the incorporation of climate change models. HAB research that involves climate change will require multiple disciplines that bring together ecologists, hydrologists, climatologists, engineers, economists, and new technology. Resource managers could use geographic data about the occurrence and distribution of HABs to develop models that identify waterbodies more vulnerable to HAB events. Development of such models will require teams capable of integrating biological, chemical, and physical factors. Model development will require additional research that can resolve anthropogenic and climate-related environmental factors to identify trends in freshwater HABs. The complexity and interconnectedness of the parameters that influence HAB occurrences will make model development challenging and require rigorous regional calibration.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251004","issn":"2331-1258","collaboration":"Prepared in cooperation with the Southeast Climate Adaptation Science Center and  Tennessee State University","usgsCitation":"Byl, T.D., Moore, D.M., Cunningham, C., and Young, D., 2025, Science needs for determining the effects of climate change on harmful algal blooms in the southeastern United States: U.S. Geological Survey Open-File Report 2025–1004, 29 p., https://doi.org/10.3133/ofr20251004.","productDescription":"vii, 29 p.","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-156959","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":483554,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251004/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1004 HTML"},{"id":483549,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1004/coverthb.jpg"},{"id":483553,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1004/ofr20251004.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1004 XML"},{"id":483551,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1004/ofr20251004.pdf","size":"7.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1004"},{"id":483550,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1004/images"}],"contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211<br></p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-olk-copy-source=\"MailCompose\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Background on HABs and Cyanobacteria</li><li>Drivers of HAB Events</li><li>Development of Models</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-03-20","noUsgsAuthors":false,"publicationDate":"2025-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Byl, Tom D. 0000-0001-6907-9149","orcid":"https://orcid.org/0000-0001-6907-9149","contributorId":352440,"corporation":false,"usgs":true,"family":"Byl","given":"Tom D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Devin M. 0009-0003-6919-8625","orcid":"https://orcid.org/0009-0003-6919-8625","contributorId":352441,"corporation":false,"usgs":false,"family":"Moore","given":"Devin M.","affiliations":[{"id":13370,"text":"Tennessee State University","active":true,"usgs":false}],"preferred":true,"id":931297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cunningham, Champagne 0000-0001-6318-5434","orcid":"https://orcid.org/0000-0001-6318-5434","contributorId":352442,"corporation":false,"usgs":true,"family":"Cunningham","given":"Champagne","affiliations":[],"preferred":true,"id":931301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, De’Etra","contributorId":352443,"corporation":false,"usgs":false,"family":"Young","given":"De’Etra","affiliations":[{"id":13370,"text":"Tennessee State University","active":true,"usgs":false}],"preferred":true,"id":931300,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267200,"text":"70267200 - 2025 - Exploration of a piscicide delivery method for invasive Black Carp","interactions":[],"lastModifiedDate":"2025-05-16T15:50:36.730751","indexId":"70267200","displayToPublicDate":"2025-03-20T10:49:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Exploration of a piscicide delivery method for invasive Black Carp","docAbstract":"<p><span>A piscicide delivery method was designed to selectively target Black Carp&nbsp;</span><i>Mylopharyngodon piceus,</i><span>&nbsp;an invasive fish species in North America, which possesses pharyngeal teeth adapted for crushing mollusk prey. Many North American mollusks exist in small, fragmented populations susceptible to local extirpation. A Black Carp-selective toxic bait deployed properly could be used to protect those populations. Results represent initial efforts to construct an effective single-dose species-selective toxic bait. We prepared a bait by attaching a glass vial containing toxicant (antimycin A) to the exterior of a&nbsp;</span><i>Corbicula fluminea</i><span>&nbsp;clam valve. We designed the vial to break from the force of the fish’s pharyngeal teeth when attempting to crush and consume the clam. We tested suitable vial sizes for encapsulating piscicide and two attachment materials, an aquarium epoxy and ultraviolet light-cured attachment material. The aquarium epoxy was rigid and reinforced vials. The ultraviolet light-cured attachment material was softer, resulting in more vials broken at 3- and 24-h post feeding. In a second trial, toxic baits consisting of antimycin A piscicide were administered in pure ethanol and acetone carriers to Black Carp in assembled baits with vials attached to live clam valves at three concentrations (40.0 mg/mL in ethanol, 170.8 mg/mL and 341.5 mg/mL in acetone). We selected aquarium epoxy for assembled baits based on the bond between the epoxy and glass vial, which allowed a greater surface area to be exposed and broken. While Black Carp successfully broke vials containing piscicide, no treatment caused carp mortality. The delivery method was unsuccessful as a single dose antimycin A piscicide bait for Black Carp. Additional considerations for this approach are provided.</span></p>","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-24-009","usgsCitation":"Kroboth, P., Stahlschmidt, B.H., and Chapman, D., 2025, Exploration of a piscicide delivery method for invasive Black Carp: Journal of Fish and Wildlife Management, https://doi.org/10.3996/JFWM-24-009.","ipdsId":"IP-146508","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":490130,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-24-009","text":"Publisher Index Page"},{"id":486079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kroboth, Patrick 0000-0002-9447-4818","orcid":"https://orcid.org/0000-0002-9447-4818","contributorId":216578,"corporation":false,"usgs":true,"family":"Kroboth","given":"Patrick","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":937249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stahlschmidt, Benjamin H. 0000-0001-6197-662X","orcid":"https://orcid.org/0000-0001-6197-662X","contributorId":211250,"corporation":false,"usgs":true,"family":"Stahlschmidt","given":"Benjamin","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":937250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":937251,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264194,"text":"dr1202 - 2025 - Four-band image mosaic of the Colorado River Corridor downstream of Glen Canyon Dam in Arizona, derived from the May 2021 airborne image acquisition","interactions":[],"lastModifiedDate":"2025-03-21T13:39:32.835373","indexId":"dr1202","displayToPublicDate":"2025-03-20T09:20:09","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1202","displayTitle":"Four-Band Image Mosaic of the Colorado River Corridor Downstream of Glen Canyon Dam in Arizona, Derived from the May 2021 Airborne Image Acquisition","title":"Four-band image mosaic of the Colorado River Corridor downstream of Glen Canyon Dam in Arizona, derived from the May 2021 airborne image acquisition","docAbstract":"<p>In May 2021, the U.S. Geological Survey’s Grand Canyon Monitoring and Research Center acquired airborne multispectral high-resolution data for the Colorado River in the Grand Canyon, Arizona. The image data, which consist of four spectral bands (red, band 1; green, band 2; blue, band 3; and near infrared, band 4) with a ground resolution of 20 centimeters, are available as 16-bit unsigned-integer GeoTIFF files in Sankey and others (2024) (available online at <a data-mce-href=\"https://doi.org/10.5066/P9BBGN6G\" href=\"https://doi.org/10.5066/P9BBGN6G\">https://doi.org/10.5066/P9BBGN6G</a>). The image files are projected in the State Plane Coordinate System, using the central Arizona zone (202) with the North American Datum of 1983 National Adjustment of 2011. The assessed spatial accuracy for these data is based on 47 ground-control points that were independent from the ground-control points used by the contractor for aerotriangulation and is reported at the 95-percent confidence level as 0.514 meter (m) and a root mean square error of 0.297 m. The intended uses of this dataset are primarily in support of scientific research and monitoring applications. Examples of these applications include high-resolution spatial and temporal change detection of the river channel, geomorphic landforms, riparian vegetation, and backwater and nearshore habitat, as well as other ecosystem-wide mapping. These imagery data also serve as reference material for field science mission planning, as base data for field data collection including community science activities, and as a highly detailed guide for technical boat operation during science activities such as reconnaissance for nighttime missions and navigating rapids during low flows.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1202","collaboration":"Prepared in cooperation with Northern Arizona University","usgsCitation":"Sankey, J.B., Bransky, N.D., Pigue, L.M., Kohl, K.A., and Gushue, T.M., 2025, Four-band image mosaic of the Colorado River corridor downstream of Glen Canyon Dam in Arizona, derived from the May 2021 airborne image acquisition: U.S. Geological Survey Data Report 1202, https://doi.org/10.3133/dr1202.","productDescription":"Report: HTML Document; Data Release","onlineOnly":"Y","ipdsId":"IP-162668","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":483089,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1202/dr1202.XML"},{"id":483585,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":483091,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1202/full"},{"id":483090,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1202/images"},{"id":483526,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1027","description":"Durning, L.E., Sankey, J.B., Davis, P.A., and Sankey, T.T., 2016, Four-band image mosaic of the Colorado River corridor downstream of Glen Canyon Dam in Arizona, derived from the May 2013 airborne image acquisition: U.S. Geological Survey Data Series 1027, https://doi.org/10.3133/ds1027.","linkHelpText":"- Four-band image mosaic of the Colorado River corridor downstream of Glen Canyon Dam in Arizona, derived from the May 2013 airborne image acquisition"},{"id":483066,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/780/","description":"Davis, P.A., 2013, Natural-color and color-infrared image mosaics of the Colorado River corridor in Arizona derived from the May 2009 airborne image collection: U.S. Geological Survey Data Series 780, https://pubs.usgs.gov/ds/780/.","linkHelpText":"- Natural-color and color-infrared image mosaics of the Colorado River corridor in Arizona derived from the May 2009 airborne image collection"},{"id":483527,"rank":10,"type":{"id":22,"text":"Related Work"},"url":"http://pubs.usgs.gov/of/2012/1139/","description":"Davis, P.A., 2012, Airborne digital-image data for monitoring the Colorado River corridor below Glen Canyon Dam, Arizona, 2009—Image-mosaic production and comparison with 2002 and 2005 image mosaics: U.S. Geological Survey Open-File Report 2012–1139, 82 p. (Available at http://pubs.usgs.gov/of/2012/1139/.)","linkHelpText":"- Airborne digital-image data for monitoring the Colorado River corridor below Glen Canyon Dam, Arizona, 2009—Image-mosaic production and comparison with 2002 and 2005 image mosaics"},{"id":483065,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.5066/P93Y4FMJ","description":"Sankey, J.B., Bransky, N.B., Kohl, K.A., Gushue, T.M., Bedford, A.F., and Durning, L.E., 2025, Digital elevation model (DEM) and digital surface model (DSM) data for the Colorado River corridor in Grand Canyon National Park and Glen Canyon National Recreation Area (2002, 2009, 2013 and 2021), including accuracy assessment data: U.S. Geological Survey data release, https://doi.org/10.5066/P93Y4FMJ.","linkHelpText":"- Digital elevation model (DEM) and digital surface model (DSM) data for the Colorado River corridor in Grand Canyon National Park and Glen Canyon National Recreation Area (2002, 2009, 2013 and 2021), including accuracy assessment data"},{"id":483064,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BBGN6G","text":"USGS Data Release","description":"Sankey, J.B., Bransky, N., Pigue, L., Kohl, K., and Gushue, T.M., 2024, Four Band Image Mosaic of the Colorado River Corridor in Arizona—2021, including Accuracy Assessment Data: U.S. Geological Survey data release, https://doi.org/10.5066/P9BBGN6G.","linkHelpText":"Four band image mosaic of the Colorado River Corridor in Arizona—2021, including accuracy assessment data"},{"id":483525,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.5066/F7TX3CHS","description":"Durning, L.E., Sankey, J.B., Davis, P.A., and Sankey, T.T., 2016, Four band Image mosaic of the Colorado River Corridor in Arizona--2013, including accuracy assessment data: U.S. Geological Survey data release, https://doi.org/10.5066/F7TX3CHS","linkHelpText":"- Four band Image mosaic of the Colorado River Corridor in Arizona--2013, including accuracy assessment data"}],"country":"United States","state":"Arizona, Nevada, Utah","otherGeospatial":"Colorado River, Glen Canyon Dam, Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.25503634497424,\n              37.07331588090071\n            ],\n            [\n              -115.01927028989792,\n              37.07331588090071\n            ],\n            [\n              -115.01927028989792,\n              35.44030487638608\n            ],\n            [\n              -111.25503634497424,\n              35.44030487638608\n            ],\n            [\n              -111.25503634497424,\n              37.07331588090071\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/sbsc\" data-mce-href=\"https://www.usgs.gov/centers/sbsc\">Southwest Biological Science Center</a><br><a href=\"https://www.usgs.gov/\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2255 N. Gemini Drive<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Data Collection</li><li>Image Processing</li><li>Accuracy and Error</li><li>Data Organization</li><li>Companion Data</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-03-20","noUsgsAuthors":false,"publicationDate":"2025-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":930112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bransky, Nathaniel 0000-0003-3113-7491","orcid":"https://orcid.org/0000-0003-3113-7491","contributorId":305709,"corporation":false,"usgs":true,"family":"Bransky","given":"Nathaniel","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":930113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigue, Lori M. 0000-0002-6675-6877","orcid":"https://orcid.org/0000-0002-6675-6877","contributorId":330994,"corporation":false,"usgs":true,"family":"Pigue","given":"Lori","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kohl, Keith 0000-0001-6812-0373 kkohl@usgs.gov","orcid":"https://orcid.org/0000-0001-6812-0373","contributorId":1323,"corporation":false,"usgs":true,"family":"Kohl","given":"Keith","email":"kkohl@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":930115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gushue, Thomas M. 0000-0002-7172-2460","orcid":"https://orcid.org/0000-0002-7172-2460","contributorId":213515,"corporation":false,"usgs":true,"family":"Gushue","given":"Thomas M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":930116,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70264734,"text":"70264734 - 2025 - Reconstruction of Holocene and Last Interglacial vegetation dynamics and wildfire activity in Southern Siberia","interactions":[],"lastModifiedDate":"2025-03-21T15:27:48.558095","indexId":"70264734","displayToPublicDate":"2025-03-20T08:09:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Reconstruction of Holocene and Last Interglacial vegetation dynamics and wildfire activity in Southern Siberia","docAbstract":"<p><span>Wildfires are a rapidly increasing threat to boreal forests. While our understanding of the drivers behind wildfires and their environmental impact is growing, it is mostly limited to the observational period. Here we focus on the boreal forests of southern Siberia and exploit a U–Th-dated stalagmite from Botovskaya Cave, located in the upper Lena region of southern Siberia, to document wildfire activity and vegetation dynamics during parts of two warm periods: the Last Interglacial (LIG; specifically part of the Last Interglacial maximum between 124.1 and 118.8 ka) and the Holocene (10–0 ka). Our record is based on levoglucosan (Lev), a biomarker sensitive to biomass burning, and on lignin oxidation products (LOPs) that discriminate between open and closed forest and hard- or softwood vegetation. In addition, we used carbonate carbon stable isotope ratios (</span><span class=\"inline-formula\"><i>δ</i><sup>13</sup>C</span><span>), which reflect a dominant control of the host rock, to evaluate soil respiration and local infiltration changes. Our LOP data suggest that, during the Last Interglacial, the region around Botovskaya Cave was characterised by open forest, which by ca. 121.5 ka underwent a transition from fire-resistant hardwood to fire-prone softwood. The Lev record indicates that fire activity was high and increased towards the end of Last Interglacial just before 119 ka. In contrast, the Holocene was characterised by a closed-forest environment with mixed hard- and softwood vegetation. Holocene fire activity varied but at a much lower level than during the Last Interglacial. We attribute the changes in wildfire activity during the intervals of interest to the interplay between vegetation and climate. The open forests of the Last Interglacial were more likely to ignite than their closed Holocene equivalents, and their flammability was aided by warmer and drier summers and a stronger seasonal temperature contrast due to the increase in seasonal insolation difference compared to the Holocene. Our comparison of the last two interglacial intervals suggests that, with increasing global temperatures, the boreal forest of southern Siberia may become progressively more vulnerable to higher wildfire activity.</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/cp-21-661-2025","usgsCitation":"Margerum, J., Homann, J., Umbo, S., Nehrke, G., Hoffmann, T., Vaks, A., Kononov, A., Osintsev, A., Giesche, A., Mason, A., Lechleitner, F., Henderson, G., Kwiecien, O., and Breitenbach, S., 2025, Reconstruction of Holocene and Last Interglacial vegetation dynamics and wildfire activity in Southern Siberia: Climate of the Past, v. 21, no. 3, p. 661-677, https://doi.org/10.5194/cp-21-661-2025.","productDescription":"17 p.","startPage":"661","endPage":"677","ipdsId":"IP-165953","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":488363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-21-661-2025","text":"Publisher Index Page"},{"id":483662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Botovskaya Cave, Siberia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              104.97249739324332,\n              55.0006548103033\n            ],\n            [\n              104.97249739324332,\n              54.87985401356909\n            ],\n            [\n              105.12004339826586,\n              54.87985401356909\n            ],\n            [\n              105.12004339826586,\n              55.0006548103033\n            ],\n            [\n              104.97249739324332,\n              55.0006548103033\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Margerum, Jade","contributorId":352494,"corporation":false,"usgs":false,"family":"Margerum","given":"Jade","affiliations":[{"id":84240,"text":"Department of Earth and Environmental Sciences, Northumbria University, Newcastle-Upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":931488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homann, Julia","contributorId":352495,"corporation":false,"usgs":false,"family":"Homann","given":"Julia","affiliations":[{"id":84241,"text":"Department Chemie, Johannes Gutenberg-Universität Mainz, Duesbergweg 10-14, 55128 Mainz, Germany","active":true,"usgs":false}],"preferred":false,"id":931489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Umbo, Stuart","contributorId":352496,"corporation":false,"usgs":false,"family":"Umbo","given":"Stuart","affiliations":[{"id":84240,"text":"Department of Earth and Environmental Sciences, Northumbria University, Newcastle-Upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":931490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nehrke, Gernot","contributorId":352497,"corporation":false,"usgs":false,"family":"Nehrke","given":"Gernot","affiliations":[{"id":84242,"text":"Alfred Wegener Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Section Marine BioGeoSciences, 27570 Bremerhaven, Germany","active":true,"usgs":false}],"preferred":false,"id":931491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoffmann, Thorsten","contributorId":352498,"corporation":false,"usgs":false,"family":"Hoffmann","given":"Thorsten","affiliations":[{"id":84241,"text":"Department Chemie, Johannes Gutenberg-Universität Mainz, Duesbergweg 10-14, 55128 Mainz, Germany","active":true,"usgs":false}],"preferred":false,"id":931492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vaks, Anton","contributorId":352499,"corporation":false,"usgs":false,"family":"Vaks","given":"Anton","affiliations":[{"id":84243,"text":"Geological Survey of Israel, 32 Yeshayahu Leibowitz Street, 9692100 Jerusalem, Israel","active":true,"usgs":false}],"preferred":false,"id":931493,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kononov, Aleksandr","contributorId":352500,"corporation":false,"usgs":false,"family":"Kononov","given":"Aleksandr","affiliations":[{"id":84244,"text":"Irkutsk Nation al Research Technical University, Irkutsk, 664074, Russia; Institute of the Earth's Crust, Russian Academy of Sciences, Siberian Branch, Irkutsk, 664033, Russia","active":true,"usgs":false}],"preferred":false,"id":931494,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Osintsev, Alexander","contributorId":352501,"corporation":false,"usgs":false,"family":"Osintsev","given":"Alexander","affiliations":[{"id":84245,"text":"Speleoclub Arabika, St. Mamina-Sibiryaka 6a, 664058 Irkutsk, Russia","active":true,"usgs":false}],"preferred":false,"id":931495,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Giesche, Alena Maria 0000-0003-3673-7269","orcid":"https://orcid.org/0000-0003-3673-7269","contributorId":344659,"corporation":false,"usgs":true,"family":"Giesche","given":"Alena Maria","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":931496,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mason, Andrew","contributorId":352502,"corporation":false,"usgs":false,"family":"Mason","given":"Andrew","affiliations":[{"id":84247,"text":"Department of Earth Sciences, University of Oxford, South Parks Road, OX1 3AN Oxford, UK","active":true,"usgs":false}],"preferred":false,"id":931497,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lechleitner, Franziska A.","contributorId":352503,"corporation":false,"usgs":false,"family":"Lechleitner","given":"Franziska A.","affiliations":[{"id":84248,"text":"Department of Chemistry, Biochemistry and Pharmaceutical Sciences & Oeschger Centre for Climate Change Research, Universität Bern, Freiestrasse 3, 3012 Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":931498,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Henderson, Gideon M.","contributorId":352504,"corporation":false,"usgs":false,"family":"Henderson","given":"Gideon M.","affiliations":[{"id":84247,"text":"Department of Earth Sciences, University of Oxford, South Parks Road, OX1 3AN Oxford, UK","active":true,"usgs":false}],"preferred":false,"id":931499,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kwiecien, Ola","contributorId":352505,"corporation":false,"usgs":false,"family":"Kwiecien","given":"Ola","affiliations":[{"id":84240,"text":"Department of Earth and Environmental Sciences, Northumbria University, Newcastle-Upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":931500,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Breitenbach, Sebastian F.M.","contributorId":352506,"corporation":false,"usgs":false,"family":"Breitenbach","given":"Sebastian F.M.","affiliations":[{"id":84240,"text":"Department of Earth and Environmental Sciences, Northumbria University, Newcastle-Upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":931501,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70264658,"text":"sir20255013 - 2025 - Hydrogeologic investigation, framework, and conceptual flow model of the Antlers aquifer, southeastern Oklahoma, 1980–2022","interactions":[],"lastModifiedDate":"2025-07-23T17:11:15.939504","indexId":"sir20255013","displayToPublicDate":"2025-03-19T11:57:37","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5013","displayTitle":"Hydrogeologic Investigation, Framework, and Conceptual Flow Model of the Antlers Aquifer, Southeastern Oklahoma, 1980–2022","title":"Hydrogeologic investigation, framework, and conceptual flow model of the Antlers aquifer, southeastern Oklahoma, 1980–2022","docAbstract":"<p>The 1973 Oklahoma Groundwater Law (Oklahoma Statute §82–1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations of the State’s groundwater basins to support a determination of the maximum annual yield for each groundwater basin. Every 20 years, the Oklahoma Water Resources Board is required to update the hydrologic investigation on which the maximum annual yield determinations were based. The maximum annual yield allocated per acre of land is used to set the equal-proportionate share pumping rate. The maximum annual yield of 5,913,600 acre-feet per year and equal-proportionate-share of 2.1 acre-feet per acre per year currently (2025) in place for the Antlers aquifer were issued by the Oklahoma Water Resources Board on February 14, 1995. Because more than 20 years have elapsed since the 1995 final order for the Antlers aquifer was issued, the U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, completed an in-depth hydrologic study that included a hydrogeologic framework and conceptual groundwater-flow model for the 1980–2022 study period.</p><p>The results of an analysis of land use, long-term climate patterns, streamflow and base-flow patterns, historical groundwater use, as well as groundwater-level fluctuations across the Antlers aquifer are described. In addition, groundwater quality was analyzed for total dissolved solids concentrations and major ions for the Antlers aquifer. An updated hydrogeologic framework was developed that included refining the aquifer boundary in Oklahoma, the creation of new potentiometric surface and saturated thickness of fresh groundwater maps, one multiple-well aquifer test, slug tests, and an analysis of lithologic logs across the aquifer. A conceptual groundwater flow model and water budget were developed by incorporating estimates of recharge from precipitation, saturated-zone evapotranspiration, streambed seepage, lateral groundwater flows, vertical leakage, and withdrawals from groundwater wells.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255013","issn":"2328-0328","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Fetkovich, E.J., Morris, A.S., Dale, I.A., Codner, C., Kirby, E.A., Baciocco, C.A., Rogers, I.M.J., Wagner, D.L., Tomlinson, Z.D., and Fiorentino, E.G., 2025, Hydrogeologic investigation, framework, and conceptual flow model of the Antlers aquifer, southeastern Oklahoma, 1980–2022: U.S. Geological Survey Scientific Investigations Report 2025–5013, 55 p., https://doi.org/10.3133/sir20255013.","productDescription":"Report: x, 55 p.; Data Release; Dataset","numberOfPages":"70","onlineOnly":"Y","ipdsId":"IP-149893","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":492792,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118496.htm","linkFileType":{"id":5,"text":"html"}},{"id":483543,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255013/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5013 HTML"},{"id":483492,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://waterdata.usgs.gov/nwis","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":483491,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14C6QFS","text":"USGS Data Release","linkHelpText":"- Soil-water-balance model and data used in the hydrogeologic investigation, framework, and conceptual flow model of the Antlers aquifer, southeastern Oklahoma, 1967–2022"},{"id":483483,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5013/coverthb.jpg"},{"id":483484,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5013/images"},{"id":483485,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5013/sir20255013.pdf","size":"41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5013"},{"id":483542,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5013/sir20255013.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5013 XML"}],"country":"United States","state":"Oklahoma, Texas","otherGeospatial":"Antlers aquifer study","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.55,\n              34.5\n            ],\n            [\n              -97.55,\n              33.25\n            ],\n            [\n              -94.5,\n              33.25\n            ],\n            [\n              -94.5,\n              34.5\n            ],\n            [\n              -97.55,\n              34.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/ot-water\" href=\"https://www.usgs.gov/centers/ot-water\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane<br>Austin, TX 78754–4501</p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;</li><li>Abstract</li><li>Introduction</li><li>Hydrogeology of the Antlers Aquifer and Surrounding Units</li><li>Hydrogeologic Framework of the Antlers Aquifer</li><li>Conceptual Groundwater Flow Model and Water Budget</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-03-19","noUsgsAuthors":false,"publicationDate":"2025-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Fetkovich, Evin J. 0000-0002-8899-8543","orcid":"https://orcid.org/0000-0002-8899-8543","contributorId":328666,"corporation":false,"usgs":true,"family":"Fetkovich","given":"Evin","email":"","middleInitial":"J.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Amy S. 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0000-0001-8492-5358","orcid":"https://orcid.org/0000-0001-8492-5358","contributorId":46036,"corporation":false,"usgs":true,"family":"Rogers","given":"Ian","email":"","middleInitial":"M.J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931139,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Derrick L. 0000-0002-9291-7785","orcid":"https://orcid.org/0000-0002-9291-7785","contributorId":345145,"corporation":false,"usgs":false,"family":"Wagner","given":"Derrick","email":"","middleInitial":"L.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":true,"id":931140,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tomlinson, Zachary D.","contributorId":352418,"corporation":false,"usgs":false,"family":"Tomlinson","given":"Zachary D.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources 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,{"id":70264482,"text":"fs20243050 - 2025 - Assessment of undiscovered conventional oil and gas resources of Oman, 2023","interactions":[],"lastModifiedDate":"2025-03-20T14:19:39.518004","indexId":"fs20243050","displayToPublicDate":"2025-03-19T11:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3050","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of Oman, 2023","title":"Assessment of undiscovered conventional oil and gas resources of Oman, 2023","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 1.2 billion barrels of oil and 6.4 trillion cubic feet of gas in Oman.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243050","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Drake, R.M., II, Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., and Timm, K.K., 2025, Assessment of undiscovered conventional oil and gas resources of Oman, 2023: U.S. Geological Survey Fact Sheet 2024–3050, 4 p., https://doi.org/10.3133/fs20243050.","productDescription":"Report: 4 p.; 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,{"id":70264423,"text":"70264423 - 2025 - Hydrological whiplash: Highlighting the need for better understanding and quantification of sub-seasonal hydrological extreme transitions","interactions":[],"lastModifiedDate":"2025-03-31T14:48:27.054575","indexId":"70264423","displayToPublicDate":"2025-03-19T09:44:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological whiplash: Highlighting the need for better understanding and quantification of sub-seasonal hydrological extreme transitions","docAbstract":"<p><span>In this commentary, we aim to (1) describe ways that hydrological intensification and hydrological whiplash (sub-seasonal transitions between hydrological extremes) may impact water management decision-making, (2) introduce the complexities of identifying and quantifying hydrological extreme transitions, (3) discuss the processes controlling hydrological transitions and trends in hydrological extremes through time, (4) discuss considerations involved in modeling hydrological extreme transitions, and (5) motivate additional research by suggesting priority research questions that diverge from an assumption of independence between extreme events.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70113","usgsCitation":"Hammond, J., Anderson, B., Simeone, C., Brunner, M., Munoz-Castro, E., Archfield, S.A., Magee, E., and Armitage, R., 2025, Hydrological whiplash: Highlighting the need for better understanding and quantification of sub-seasonal hydrological extreme transitions: Hydrological Processes, v. 39, no. 3, e70113, 9 p., https://doi.org/10.1002/hyp.70113.","productDescription":"e70113, 9 p.","ipdsId":"IP-174142","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":484020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Bailey","contributorId":352305,"corporation":false,"usgs":false,"family":"Anderson","given":"Bailey","affiliations":[{"id":40606,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":930715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simeone, Caelan 0000-0003-3263-6452","orcid":"https://orcid.org/0000-0003-3263-6452","contributorId":221008,"corporation":false,"usgs":true,"family":"Simeone","given":"Caelan","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brunner, Manuela","contributorId":352306,"corporation":false,"usgs":false,"family":"Brunner","given":"Manuela","affiliations":[{"id":40606,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":930716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Munoz-Castro, Eduardo","contributorId":352307,"corporation":false,"usgs":false,"family":"Munoz-Castro","given":"Eduardo","affiliations":[{"id":40606,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":930717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - 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,{"id":70266530,"text":"70266530 - 2025 - A novel method for estimating pathogen presence, prevalence, load, and dynamics at multiple scales","interactions":[],"lastModifiedDate":"2025-05-09T14:47:14.01538","indexId":"70266530","displayToPublicDate":"2025-03-19T09:42:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"A novel method for estimating pathogen presence, prevalence, load, and dynamics at multiple scales","docAbstract":"<p><span>The use of quantitative real-time PCR (qPCR) to monitor pathogens is common; however, quantitative frameworks that consider the observation process, dynamics in pathogen presence, and pathogen load are lacking. This can be problematic in the early stages of disease progression, where low level detections may be treated as ‘inconclusive’ and excluded from analyses. Alternatively, a framework that accounts for imperfect detection would provide more robust inferences. To better estimate pathogen dynamics, we developed a hierarchical multi-scale dynamic occupancy hurdle model (MS-DOHM). The model used data gathered during sampling for&nbsp;</span><i>Pseudogymnoascus destructans (Pd)</i><span>, the causative agent of white-nose syndrome, a fungal disease that has cause severe declines in several species of hibernating bats in North America. The model allowed us to estimate initial occupancy, colonization, persistence and prevalence of&nbsp;</span><i>Pd</i><span>&nbsp;at bat hibernacula. Additionally, utilizing the relationship between cycle threshold and pathogen load, we estimated pathogen detectability and modeled expected colony and bat pathogen loads. To assess the ability of MS-DOHM to estimate pathogen dynamics, we compared MS-DOHM’s results to those of a dynamic occupancy model and naïve detection/non-detection. MS-DOHM’s estimates of site-level pathogen presence were up to 11.9% higher than estimates from the dynamic occupancy model and 35.7% higher than naïve occupancy. Including prevalence and load in our modeling framework resulted in estimates of pathogen arrival that were two to three years earlier compared to the dynamic occupancy and naïve detection/non-detection, respectively. Compared to naïve values, MS-DOHM predicted greater pathogen loads on colonies; however, we found no difference between model estimates and naïve values of prevalence. While the model predicted no declines in site-level prevalence, there were instances where pathogen load decreased in colonies that had been&nbsp;</span><i>Pd</i><span>&nbsp;positive for longer periods of time. Our findings demonstrate that accounting for pathogen load and prevalence at multiple scales changes our understanding of&nbsp;</span><i>Pd</i><span>&nbsp;dynamics, potentially allowing earlier conservation intervention. Additionally, we found that accounting for pathogen load and prevalence within hibernacula and among individuals resulted in a better fitting model with greater predictive ability.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-93865-x","usgsCitation":"Gridder, J., Udell, B.J., Reichert, B., Foster, J., Kendall, W.L., Cheng, T., and Frick, W.F., 2025, A novel method for estimating pathogen presence, prevalence, load, and dynamics at multiple scales: Scientific Reports, v. 15, 9423, 10 p., https://doi.org/10.1038/s41598-025-93865-x.","productDescription":"9423, 10 p.","ipdsId":"IP-166127","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":490111,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-93865-x","text":"Publisher Index Page"},{"id":485644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.26363777562113,\n              49.48504400263704\n            ],\n            [\n              -97.26363777562113,\n              32.49418643417637\n            ],\n            [\n              -70.38881830989425,\n              32.49418643417637\n            ],\n            [\n              -70.38881830989425,\n              49.48504400263704\n            ],\n            [\n              -97.26363777562113,\n              49.48504400263704\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Gridder, John F.","contributorId":354814,"corporation":false,"usgs":false,"family":"Gridder","given":"John F.","affiliations":[{"id":84669,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":936476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udell, Bradley James 0000-0001-5225-4959","orcid":"https://orcid.org/0000-0001-5225-4959","contributorId":271174,"corporation":false,"usgs":true,"family":"Udell","given":"Bradley","email":"","middleInitial":"James","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":936477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":936478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Jeffery T.","contributorId":351633,"corporation":false,"usgs":false,"family":"Foster","given":"Jeffery T.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":936479,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kendall, William Louis 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":257230,"corporation":false,"usgs":false,"family":"Kendall","given":"William","email":"","middleInitial":"Louis","affiliations":[{"id":51981,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University, 201 J.V.K. Wagar Building 1484 Campus Delivery, Fort Collins, CO 80523, USA","active":true,"usgs":false}],"preferred":false,"id":936480,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cheng, Tina L.","contributorId":127716,"corporation":false,"usgs":false,"family":"Cheng","given":"Tina L.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":936481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frick, Winifred F. 0000-0002-9469-1839","orcid":"https://orcid.org/0000-0002-9469-1839","contributorId":337076,"corporation":false,"usgs":false,"family":"Frick","given":"Winifred","email":"","middleInitial":"F.","affiliations":[{"id":12591,"text":"Bat Conservation International","active":true,"usgs":false}],"preferred":false,"id":936482,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70270681,"text":"70270681 - 2025 - A comprehensive freshwater mussel database for the Duck River Drainage, Tennessee","interactions":[],"lastModifiedDate":"2025-08-25T13:35:28.429518","indexId":"70270681","displayToPublicDate":"2025-03-19T09:36:42","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-166-2025","title":"A comprehensive freshwater mussel database for the Duck River Drainage, Tennessee","docAbstract":"<p><span>We have developed a comprehensive database for freshwater mussels for the Duck River drainage in Tennessee, including its largest tributary, the Buffalo River. &nbsp;This database is intended to serve as an expandable template that could be applied statewide. &nbsp;The Duck River is one of the most biologically diverse rivers in the world, with historically over 70 mussel species, and it has been selected as a priority watershed by multiple management and conservation entities. &nbsp;The database for this system compiles over 7,000 mussel records, spanning 200 years, from multiple Federal, State, academic, and private entities, representing 77 native species. &nbsp;The database is spatially explicit and includes temporal and methodological data for each record, and notes of negative survey data were made when possible. &nbsp;The database can facilitate the creation of distribution maps for each species and temporal maps of species richness to show watershed-wide trends. &nbsp;This project addresses the present lack of a centralized mussel database in Tennessee for a critical system. It will be available to facilitate species status assessments, inform conservation planning, and serve as a model for similar databases for other Tennessee watersheds.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css36499787","usgsCitation":"Womble, K.I., and Rosenberger, A.E., 2025, A comprehensive freshwater mussel database for the Duck River Drainage, Tennessee: Cooperator Science Series CSS-166-2025, ii, 100 p., https://doi.org/10.3996/css36499787.","productDescription":"ii, 100 p.","ipdsId":"IP-174003","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496393,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/css36499787","text":"Publisher Index Page"},{"id":494515,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Duck River drainage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88,\n              36.15\n            ],\n            [\n              -88,\n              35\n            ],\n            [\n              -86,\n              35\n            ],\n            [\n              -86,\n              36.15\n            ],\n            [\n              -88,\n              36.15\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2025-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Womble, Kristen Irwin","contributorId":360120,"corporation":false,"usgs":false,"family":"Womble","given":"Kristen","middleInitial":"Irwin","affiliations":[{"id":56209,"text":"Tennessee Tech University","active":true,"usgs":false}],"preferred":false,"id":946812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264714,"text":"70264714 - 2025 - Specific conductance and water type as a proxy model for salinity and total dissolved solids measurements in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2025-03-20T14:36:34.442104","indexId":"70264714","displayToPublicDate":"2025-03-19T09:32:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Specific conductance and water type as a proxy model for salinity and total dissolved solids measurements in the Upper Colorado River Basin","docAbstract":"<p><span>Salinity levels in streams and tributaries of the Colorado River Basin have been a major concern for the United States and Mexico for over 50 years as the water is used by millions of people for domestic and industrial purposes. Recently, the United States Geological Survey expanded stream monitoring networks including the number of sites where continuous (15-min) specific conductance is measured in the Colorado River Headwaters and Gunnison River Basin located east of the Colorado-Utah state line (hereafter, UCOL). The purpose of this study is to apply a proxy method to determine salinity and total dissolved solids concentrations from specific conductance and major-ion water type that is applicable to monitoring sites in the UCOL. Within the UCOL, carbonate rich waters originate from high-elevation mountain regions in the eastern UCOL, calcium sulfate rich waters are mainly found in the western half of the UCOL including the Gunnison River Basin, and waters of variable composition are found along the lower reaches of the Colorado River and Eagle River. It was found that the chemistry of sites with variable composition changes seasonally and is impacted by both geogenic and anthropogenic processes, potentially including seasonal application of deicing road salt. The specific conductance – water type proxy can be used to reliably (±10 %) predict salinity and total dissolved solids at 66 monitoring sites in the UCOL. The method is rapid, can generate high-resolution measurements, is cost-effective, and greatly expands the utility of specific conductance measurements. Furthermore, the high-resolution estimates provide an accurate approach to determining long-term salinity loads as short-term events are accurately accounted for.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2025.106358","usgsCitation":"McCleskey, R., Cravotta, C., Miller, M., Chapin, T.W., Tillman, F.D., and Keith, G.L., 2025, Specific conductance and water type as a proxy model for salinity and total dissolved solids measurements in the Upper Colorado River Basin: Applied Geochemistry, v. 184, 106358, 11 p., https://doi.org/10.1016/j.apgeochem.2025.106358.","productDescription":"106358, 11 p.","ipdsId":"IP-170952","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":483579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.8482146743099,\n              40.404889992338354\n            ],\n            [\n              -109.03080773170848,\n              40.404889992338354\n            ],\n            [\n              -109.03080773170848,\n              38.16700844876755\n            ],\n            [\n              -104.8482146743099,\n              38.16700844876755\n            ],\n            [\n              -104.8482146743099,\n              40.404889992338354\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"184","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCleskey, R. Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":931414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":338312,"corporation":false,"usgs":false,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":81112,"text":"Cravotta Geochemical Consulting","active":true,"usgs":false}],"preferred":false,"id":931415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":220622,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew P.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapin, Tanner William 0000-0003-3905-3241","orcid":"https://orcid.org/0000-0003-3905-3241","contributorId":297923,"corporation":false,"usgs":true,"family":"Chapin","given":"Tanner","email":"","middleInitial":"William","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931418,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keith, Gabrielle L. 0000-0002-2304-8504 gkeith@usgs.gov","orcid":"https://orcid.org/0000-0002-2304-8504","contributorId":256699,"corporation":false,"usgs":true,"family":"Keith","given":"Gabrielle","email":"gkeith@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931419,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266489,"text":"70266489 - 2025 - Spatial variation in landlocked Atlantic Salmon smolt survival associated with dam passage, avian predation, and stocking location","interactions":[],"lastModifiedDate":"2025-05-28T14:56:33.619943","indexId":"70266489","displayToPublicDate":"2025-03-19T09:24:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variation in landlocked Atlantic Salmon smolt survival associated with dam passage, avian predation, and stocking location","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">We evaluated survival differences between upstream and downstream stocking for landlocked Atlantic Salmon<span>&nbsp;</span><i>Salmo salar</i><span>&nbsp;</span>smolts in a tributary to Lake Champlain.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">We radio-tagged smolts and stocked them concurrently with 22,000 smolts at two release sites in 2 years. The downstream location (DS, river kilometer 16, no dam passage) was a historically used site in a dam tailrace, whereas the upstream site (US, river kilometer 27, two dams to pass) was in a side channel and stocked for the first time. We estimated survival, counted birds during stocking, and searched nesting colonies for transmitters.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">Within stocking reaches, survival per kilometer for the DS release group was markedly lower than that for the US group (US 2021 and 2022 = 0.98, 0.98, respectively; DS 2021 and 2022 = 0.82, 0.69, respectively). At the DS site, we documented a tenfold increase in avian predators following stocking, whereas no increase was detected at the US site. Passage was &gt;96% at both dams, but postpassage survival (per kilometer) was much lower at the second dam (2021 = 0.78, 2022 = 0.82) compared to the first dam (2021 = 0.96, 2022 = 0.97). Surprisingly, cumulative survival to Lake Champlain was higher for fish that were released upstream in 2022 (US = 43%; DS = 32%) despite dam passage and additional migratory distance. At least 20% (2021) and 7% (2022) of successful migrants were later consumed by birds in the river delta or in Lake Champlain.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">Upstream stocking did not consistently result in lower cumulative survival, likely due to predators habituated to annually reoccurring stocking in a dam tailrace that increased stocking-related mortality at the DS release site. We highlight the importance of evaluating historically used stocking sites, as substantial loss of smolts could be avoided by simple changes to stocking practices. Avian predation was a major source of mortality, necessitating further studies to understand and address survival issues within Lake Champlain.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqae002","usgsCitation":"Heim, K., Ardren, W.R., Withers, J.L., Eisenhauer, Z., Mensinger, M., and Castro-Santos, T., 2025, Spatial variation in landlocked Atlantic Salmon smolt survival associated with dam passage, avian predation, and stocking location: North American Journal of Fisheries Management, v. 45, no. 1, p. 1-14, https://doi.org/10.1093/najfmt/vqae002.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-162566","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488515,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/najfmt/vqae002","text":"Publisher Index Page"},{"id":485555,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Lake Champlain, Winooski River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.25705156492046,\n              44.56259499841883\n            ],\n            [\n              -73.25705156492046,\n              44.41013272582299\n            ],\n            [\n              -72.9771968925503,\n              44.41013272582299\n            ],\n            [\n              -72.9771968925503,\n              44.56259499841883\n            ],\n            [\n              -73.25705156492046,\n              44.56259499841883\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"45","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Heim, Kurt C.","contributorId":264533,"corporation":false,"usgs":false,"family":"Heim","given":"Kurt C.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":936234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ardren, William R.","contributorId":184180,"corporation":false,"usgs":false,"family":"Ardren","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":936235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Withers, Jonah L.","contributorId":265471,"corporation":false,"usgs":false,"family":"Withers","given":"Jonah","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":936236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eisenhauer, Zachery","contributorId":354722,"corporation":false,"usgs":false,"family":"Eisenhauer","given":"Zachery","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":936237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mensinger, Matthew A.","contributorId":287641,"corporation":false,"usgs":false,"family":"Mensinger","given":"Matthew A.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":936238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":315433,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":936239,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266003,"text":"70266003 - 2025 - Latitudinal gradients of snow contamination in the Rocky Mountains associated with anthropogenic sources","interactions":[],"lastModifiedDate":"2025-04-23T14:00:01.091364","indexId":"70266003","displayToPublicDate":"2025-03-19T08:54:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Latitudinal gradients of snow contamination in the Rocky Mountains associated with anthropogenic sources","docAbstract":"<p><span>Seasonal snow is an important source of drinking water and recreation, and for agriculture in the Rocky Mountain region. Monitoring snow-water quality can inform on the effects to the albedo and energy balance of the snowpack, and the sources of natural and anthropogenic aerosol and gases. This study analyzed metals in the seasonal snowpack from water year (WY) 2018 for 49 sites. Calcium, lanthanum, and cerium concentrations support the importance of mineral dust to the southern Rocky Mountains. Mercury (Hg), zinc (Zn), and cadmium (Cd) concentrations showed a similar spatial pattern to mineral dust, whereas antimony (Sb) concentrations were highest in the northern Rocky Mountains. To assess the relative contributions from dust versus anthropogenic contaminant sources, enrichment factors (EF) were calculated, with values above 10 indicating anthropogenic contamination. For Cd, Hg, Sb, and Zn, EF values exceeded 10&nbsp;at northern sites. These observations were compared to spatial trends of EF values of Hg from WY2009 to WY2018, regional monitoring networks, and back trajectory analyses. The agreement between these datasets revealed temporally consistent contaminant sources and/or transport processes to the northern Rocky Mountains snowpack. Sources include current and historical mining and smelting in the region. Strategies to limit the emissions of these metals to the Northern Rockies could benefit from focusing on remediation of contaminated sites, and continued monitoring and mitigation of active mining and smelting.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2025.126094","usgsCitation":"Arienzo, M., Gleason, K., Sexstone, G., Sexauer Gustin, M., Schwan, M., Choma, N., Dunham-Cheatham, S., McConnell, J.R., Weisberg, P., and Csank, A., 2025, Latitudinal gradients of snow contamination in the Rocky Mountains associated with anthropogenic sources: Environmental Pollution, v. 373, 126094, 12 p., https://doi.org/10.1016/j.envpol.2025.126094.","productDescription":"126094, 12 p.","ipdsId":"IP-173899","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":488496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2025.126094","text":"Publisher Index Page"},{"id":484909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado , Idaho, Montana, New Mexico, Utah, Wyoming","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116,\n              49\n            ],\n            [\n              -116,\n              36\n            ],\n            [\n              -105,\n              36\n            ],\n            [\n              -105,\n              49\n            ],\n            [\n              -116,\n              49\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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Center","active":true,"usgs":true}],"preferred":true,"id":934291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sexauer Gustin, Mae","contributorId":353670,"corporation":false,"usgs":false,"family":"Sexauer Gustin","given":"Mae","affiliations":[{"id":84456,"text":"University of Nevada Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":934292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwan, Melissa","contributorId":353671,"corporation":false,"usgs":false,"family":"Schwan","given":"Melissa","affiliations":[{"id":84456,"text":"University of Nevada Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":934293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Choma, Nicole","contributorId":353672,"corporation":false,"usgs":false,"family":"Choma","given":"Nicole","affiliations":[{"id":84456,"text":"University of Nevada Reno, Reno, 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,{"id":70264723,"text":"70264723 - 2025 - Deterministic physics-based earthquake sequence simulators match empirical ground-motion models and enable extrapolation to data poor regimes: Application to multifault multimechanism ruptures","interactions":[],"lastModifiedDate":"2025-07-09T15:58:44.092141","indexId":"70264723","displayToPublicDate":"2025-03-19T07:56:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Deterministic physics-based earthquake sequence simulators match empirical ground-motion models and enable extrapolation to data poor regimes: Application to multifault multimechanism ruptures","docAbstract":"We use the deterministic earthquake simulator RSQSim to generate complex sequences of ruptures on fault systems used for hazard assessment. We show that the source motions combined with a wave propagation code create surface ground motions that fall within the range of epistemic uncertainties for the Next Generation Attenuation‐West2 set of empirical models. We show the model is well calibrated where there are good data constraints, and has good correspondence in regions with fewer data constraints. We show magnitude, distance, and mechanism dependence all arising naturally from the same underlying friction. The deterministic physics‐based approach provides an opportunity for better understanding the physical origins of ground motions. For example, we find that reduced stress drops in shallow layers relative to constant stress drop with depth lead to peak ground velocities in the near field that better match empirical models. The simulators may also provide better extrapolations into regimes that are poorly empirically constrained by data because physics, rather than surface shaking data parameterizations, is underlying the extrapolations. Having shown the model is credible, we apply it to a problem where observations are lacking. We examine the case of crustal faults above a shallow subduction interface seen to break coseismically in simulations of the New Zealand fault system. These types of events were left out of consideration in the most recent New Zealand national seismic hazard model due to the modeling complexity and lack of observational data to constrain ground‐motion models (GMMs). Here, we show that in the model, by breaking up the coseismic crustal and interface rupturing fault motions into two separate subevents, and then recombining the resulting ground‐motion measures in a square‐root‐of‐sum‐of‐squares incoherent manner, we reproduce well the ground‐motion measures from the full event rupture. This provides a new method for extrapolating GMMs to more complex multifault ruptures.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240141","usgsCitation":"Shaw, B.E., Milner, K., and Goulet, C.A., 2025, Deterministic physics-based earthquake sequence simulators match empirical ground-motion models and enable extrapolation to data poor regimes: Application to multifault multimechanism ruptures: Seismological Research Letters, v. 96, no. 4, p. 2431-2444, https://doi.org/10.1785/0220240141.","productDescription":"14 p.","startPage":"2431","endPage":"2444","ipdsId":"IP-170334","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":483583,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaw, Bruce E.","contributorId":194146,"corporation":false,"usgs":false,"family":"Shaw","given":"Bruce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":931438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milner, Kevin Ross 0000-0002-9118-6378","orcid":"https://orcid.org/0000-0002-9118-6378","contributorId":352491,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin Ross","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":931439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goulet, Christine A 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":336587,"corporation":false,"usgs":true,"family":"Goulet","given":"Christine","email":"","middleInitial":"A","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":931440,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70271961,"text":"70271961 - 2025 - Effects of invasive American bullfrogs and their removal on Northwestern pond turtles","interactions":[],"lastModifiedDate":"2025-09-26T14:56:47.95774","indexId":"70271961","displayToPublicDate":"2025-03-19T07:51:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Effects of invasive American bullfrogs and their removal on Northwestern pond turtles","docAbstract":"<p><span>The American bullfrog (<i>Rana</i></span><span><i></i><i>&nbsp;catesbeiana</i></span><span>) is an invasive species&nbsp;globally significant for its role as a generalist predator in freshwater systems. Native turtles are among the species eaten by bullfrogs, and turtle populations are slow to recover from this impact. We examined the effects of bullfrogs and their removal on Northwestern pond turtles (</span><i>Actinemys marmorata</i><span>) at four sites in Yosemite National Park. From 2016 to 2022, we monitored turtle populations in two sites where bullfrogs were present and two where they have been absent. We removed 12,317 bullfrogs, larvae, and whole egg masses from one site and 4067 from the other, reaching near complete eradication by 2019. We captured just large adult turtles where bullfrogs were present compared with all sizes where bullfrogs were absent. Prior to near complete eradication, juvenile turtles were only found with bullfrogs when they were recovered from bullfrog stomachs. Turtles at bullfrog present sites were 26–36&nbsp;% larger and 76–97&nbsp;% heavier than turtles from bullfrog absent sites. Turtle abundance and densities were also 2–100 times higher at bullfrog absent sites. We captured the first juvenile turtles at bullfrog present sites only after reaching near complete bullfrog eradication in 2019. Altogether, our study shows a prolonged lack of juvenile turtle recruitment where bullfrogs were present but offers hope that bullfrog control may succeed in recovering turtle populations by easing predation pressure on hatchlings and juveniles. Our results indicate that bullfrog eradication efforts may be necessary to ensure persistence of at-risk species like native turtles.</span></p>","language":"English","publisher":"Elseveir","doi":"10.1016/j.biocon.2025.111090","usgsCitation":"Woodruff, S.M., Grasso, R.L., Halstead, B., and Todd, B.D., 2025, Effects of invasive American bullfrogs and their removal on Northwestern pond turtles: Biological Conservation, v. 305, 111090, 10 p., https://doi.org/10.1016/j.biocon.2025.111090.","productDescription":"111090, 10 p.","ipdsId":"IP-172079","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498219,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2025.111090","text":"Publisher Index Page"},{"id":496195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Tuolumne County","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.7114094727153,\n              37.98105857920258\n            ],\n            [\n              -119.7114094727153,\n              37.674832093130064\n            ],\n            [\n              -119.36899677644989,\n              37.674832093130064\n            ],\n            [\n              -119.36899677644989,\n              37.98105857920258\n            ],\n            [\n              -119.7114094727153,\n              37.98105857920258\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"305","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woodruff, Sidney M.","contributorId":361811,"corporation":false,"usgs":false,"family":"Woodruff","given":"Sidney","middleInitial":"M.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":949499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grasso, Robert L.","contributorId":361813,"corporation":false,"usgs":false,"family":"Grasso","given":"Robert","middleInitial":"L.","affiliations":[{"id":28107,"text":"Yosemite National Park","active":true,"usgs":false}],"preferred":false,"id":949500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":949501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Todd, Brian D.","contributorId":361818,"corporation":false,"usgs":false,"family":"Todd","given":"Brian","middleInitial":"D.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":949502,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264368,"text":"fs20243037 - 2025 - United States Register of Introduced and Invasive Species","interactions":[],"lastModifiedDate":"2025-08-07T20:34:26.292535","indexId":"fs20243037","displayToPublicDate":"2025-03-18T16:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3037","displayTitle":"United States Register of Introduced and Invasive Species","title":"United States Register of Introduced and Invasive Species","docAbstract":"<p>The pervasive and insidious threat of invasive species costs the United States more than $120 billion, annually. An invasive species is an organism that is not native to a locality and causes (or is likely to cause) harm. An introduced species is one that is nonnative to a locality and occurs there because of human activities or their consequences, including the species’ intentional or unintentional escape, release, dissemination, or placement. The United States Register of Introduced and Invasive Species (US-RIIS, ver. 2.0) contains 14,700 records for three localities: Alaska (545 records), Hawaii (5,628 records), and the conterminous United States (L48; 8,527 records). For these localities, the US-RIIS catalogs introduced species that have become established, thus providing a basis for their prioritization and management. To be included on the US-RIIS, a species must be nonnative to the entire locality and reproducing anywhere in the locality. Each US-RIIS record has information on taxonomy, dates of introduction (where available; version 2.0 for 47 percent of the records), invasion status (invasive or introduced), use for biocontrol (if applicable), and a citation for the information source(s). The US-RIIS was designed to be compatible with country contributions to the Global Register of Introduced and Invasive Species Initiative, which compiles annotated and verified country-wide inventories of introduced and invasive species. Within the US-RIIS, the density of introduced species per 10,000 square kilometers among the localities ranges markedly, from 3 in Alaska to 1,988 in Hawaii (11 in the L48). The comparative taxonomic composition of the largest groups in the sublists also varies: the Alaska sublist has a majority of flowering plants; Hawaii has a majority of insects; and the L48 is about equally divided between insects and flowering plants. Another benefit of the US-RIIS is that it provides a baseline for effective modeling of species trends and interactions, geospatially and temporally; therefore, it can also be used to track introduced sleeper species that will eventually become invasive.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20243037","programNote":"Science Synthesis, Analysis, and Research Program","usgsCitation":"Simpson, A., Wiltermuth, M.T., and Dorado, M., 2025, United States Register of Introduced and Invasive Species (ver. 1.1, April 2025): U.S. Geological Survey Fact Sheet 2024–3037, 4 p., https://doi.org/10.3133/fs20243037.","productDescription":"Report: 4 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-157268","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":493745,"rank":9,"type":{"id":36,"text":"NGMDB Index 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March 18, 2025; Version 1.1: April 8, 2025","contact":"<p>Director, <a href=\"https://www.usgs.gov/programs/science-analytics-and-synthesis-sas/\" data-mce-href=\"https://www.usgs.gov/programs/science-analytics-and-synthesis-sas/\">Science Analytics and Synthesis Program</a><br>U.S. Geological Survey<br>Box 25046, MS 302<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Methods</li><li>Results</li><li>What’s the Difference?&nbsp; Introduced and Invasive Species</li><li>How Can You Help?</li><li>For More Information</li></ul>","publishedDate":"2025-03-18","revisedDate":"2025-04-08","noUsgsAuthors":false,"publicationDate":"2025-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Simpson, Annie 0000-0001-8338-5134","orcid":"https://orcid.org/0000-0001-8338-5134","contributorId":352267,"corporation":false,"usgs":false,"family":"Simpson","given":"Annie","affiliations":[{"id":84145,"text":"U.S. Geological Survey, Former Employee","active":true,"usgs":false}],"preferred":false,"id":930545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiltermuth, Mark T. 0000-0002-8871-2816 mwiltermuth@usgs.gov","orcid":"https://orcid.org/0000-0002-8871-2816","contributorId":708,"corporation":false,"usgs":true,"family":"Wiltermuth","given":"Mark","email":"mwiltermuth@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":930546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorado, Mireya","contributorId":352268,"corporation":false,"usgs":false,"family":"Dorado","given":"Mireya","affiliations":[{"id":84146,"text":"Student, Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":930547,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264696,"text":"70264696 - 2025 - Designing sortable guilds for multispecies selective fish passage","interactions":[],"lastModifiedDate":"2025-04-17T15:41:51.808606","indexId":"70264696","displayToPublicDate":"2025-03-18T09:37:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1652,"text":"Fish and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Designing sortable guilds for multispecies selective fish passage","docAbstract":"<p><span>The importance of connectivity for freshwater organisms is widely recognised, yet in-stream barriers associated with population declines and increased risk of extinction remain globally ubiquitous. Despite their negative consequences, these barriers can protect aquatic communities by limiting the spread of invasive species, leading to conflicting management goals in some regions. Selective fish passage is a solution for the conflicting goals of passing native, desirable species while restricting the spread of invasives. Approaches that can target groups of species sharing similar attributes (i.e. guilds) are likely to be more efficient than those that target species individually, particularly in taxonomically diverse systems. We explored the guild structure of 220 Great Lakes freshwater fishes based on morphological, phenological, physiological and behavioural attributes associated with passage and movement. We identified five distinct guilds as well as the attributes most important for defining these groupings: maximum total length, trophic level, relative eye size, spawning temperature, spawning season, presence/absence of ampullary electroreceptors and the presence/absence of hearing specialisations. The approaches outlined in this work can be generalised to enhance selective fish passage in aquatic ecosystems worldwide.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/faf.12888","usgsCitation":"Benoit, D., Zielinski, D., Swanson, R., Jackson, D., McLaughlin, R.L., Castro-Santos, T., Goodwin, R., Pratt, T., and Muir, A., 2025, Designing sortable guilds for multispecies selective fish passage: Fish and Fisheries, v. 26, no. 3, p. 414-424, https://doi.org/10.1111/faf.12888.","productDescription":"11 p.","startPage":"414","endPage":"424","ipdsId":"IP-171460","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488341,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/faf.12888","text":"Publisher Index Page"},{"id":483580,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Benoit, David","contributorId":352446,"corporation":false,"usgs":false,"family":"Benoit","given":"David","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":931311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zielinski, Daniel","contributorId":245798,"corporation":false,"usgs":false,"family":"Zielinski","given":"Daniel","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":931312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Reid G","contributorId":264164,"corporation":false,"usgs":false,"family":"Swanson","given":"Reid G","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":931313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Donald","contributorId":352449,"corporation":false,"usgs":false,"family":"Jackson","given":"Donald","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":931314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLaughlin, Robert L.","contributorId":143707,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Robert","email":"","middleInitial":"L.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":931315,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":315433,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":931316,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goodwin, R. Andrew 0000-0002-6846-0287","orcid":"https://orcid.org/0000-0002-6846-0287","contributorId":352492,"corporation":false,"usgs":false,"family":"Goodwin","given":"R. Andrew","affiliations":[{"id":37304,"text":"U.S. Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":931317,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pratt, Thomas C.","contributorId":177870,"corporation":false,"usgs":false,"family":"Pratt","given":"Thomas C.","affiliations":[],"preferred":false,"id":931318,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Muir, Andrew M.","contributorId":103933,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew M.","affiliations":[],"preferred":false,"id":931319,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70272248,"text":"70272248 - 2025 - Decadal stability in stream fish communities and contemporary ecological drivers of species occupancy in two Appalachian U.S. National Parks","interactions":[],"lastModifiedDate":"2025-11-20T16:04:16.55833","indexId":"70272248","displayToPublicDate":"2025-03-18T08:53:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Decadal stability in stream fish communities and contemporary ecological drivers of species occupancy in two Appalachian U.S. National Parks","docAbstract":"<p>Objective</p><p> Although conserving fish biodiversity in lotic systems is challenging, protected areas can provide refuge from certain environmental stressors. In the Appalachian region, USA, the National Park Service manages Delaware Water Gap National Recreation Area (DEWA) and New River Gorge National Park &amp; Preserve (NERI), which contain abundant and diverse freshwater resources. To assess the effectiveness of these protected areas in conserving stream fishes, we evaluated decadal changes and ecological drivers of species occupancy and detection. </p><p>Methods </p><p>Using fish assemblage data from backpack electrofishing surveys conducted in both parks during 2013–2014 and 2022–2023, we quantified temporal differences in species occupancy and detection probabilities using a Bayesian hierarchical multispecies occupancy modeling approach. For the 2022–2023 survey, we included habitat variables as predictors of occupancy and detection. </p><p>Results</p><p><span>Community composition and occupancy probabilities for species in both parks remained similar through time, with the most recent occupancy estimates ranging from 0.07 (90% CI = 0.02, 0.14) for Variegate Darter&nbsp;</span><i>Etheostoma variatum</i><span>&nbsp;and Rainbow Darter&nbsp;</span><i>E. ­caeruleum</i><span>&nbsp;to 0.73 (90% credible interval = 0.59, 0.85) for Blacknose Dace&nbsp;</span><i>Rhinichthys atratulus</i><span>. Changes in occupancy were more prominent at Delaware Water Gap National Recreation Area than New River Gorge National Park &amp; Preserve, with Yellow Perch&nbsp;</span><i>Perca flavescens</i><span>&nbsp;having a posterior mean difference of −0.17 [90% credible interval = −0.35, −0.01] and American Eel&nbsp;</span><i>Anguilla rostrata</i><span>&nbsp;having a high posterior probability (&gt;80%) of occupancy increasing by at least 1%. Habitat variables were related to community structure, but effects varied in significance, magnitude, and direction among species and parks. Conversely, species-specific detection probabilities were comparatively less affected by environmental and sampling effort predictors.</span></p><p><span>Conclusions</span></p><p><span>Between 2013 and 2023, occupancy estimates for 44 fish species across two protected, ecologically diverse landscapes remained relatively stable. Furthermore, we highlight the efficacy of national parks in maintaining freshwater fish biodiversity amidst rapid global change.</span></p><p><span><br data-mce-bogus=\"1\"></span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnae001","usgsCitation":"Stum, M.B., Tzilkowski, C.J., Marshall, M.R., Buderman, F.E., and Wagner, T., 2025, Decadal stability in stream fish communities and contemporary ecological drivers of species occupancy in two Appalachian U.S. National Parks: Transactions of the American Fisheries Society, v. 154, no. 1, p. 17-34, https://doi.org/10.1093/tafafs/vnae001.","productDescription":"18 p.","startPage":"17","endPage":"34","ipdsId":"IP-171219","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":496759,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tafafs/vnae001","text":"Publisher Index Page"},{"id":496690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, Pennsylvania, West Virginia","otherGeospatial":"Delaware Water Gap National Recreation Area, New River Gorge National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.89843107159835,\n              41.431514746901854\n            ],\n            [\n              -75.18455995359527,\n              40.990801971458694\n            ],\n            [\n              -74.90504430165323,\n              40.90329116200766\n            ],\n            [\n              -74.63249562743557,\n              41.39060918496995\n            ],\n            [\n              -74.89843107159835,\n              41.431514746901854\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.03803453005847,\n              37.87180093795311\n            ],\n            [\n              -81.03803453005847,\n              37.81645041875879\n            ],\n            [\n              -80.95306469595798,\n              37.81645041875879\n            ],\n            [\n              -80.95306469595798,\n              37.87180093795311\n            ],\n            [\n              -81.03803453005847,\n              37.87180093795311\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"154","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Stum, Morgan B.","contributorId":362504,"corporation":false,"usgs":false,"family":"Stum","given":"Morgan","middleInitial":"B.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":950572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tzilkowski, Caleb J.","contributorId":362506,"corporation":false,"usgs":false,"family":"Tzilkowski","given":"Caleb","middleInitial":"J.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":950573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Matthew R.","contributorId":362508,"corporation":false,"usgs":false,"family":"Marshall","given":"Matthew","middleInitial":"R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":950574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buderman, Frances E.","contributorId":362510,"corporation":false,"usgs":false,"family":"Buderman","given":"Frances","middleInitial":"E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":950575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":218091,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":950576,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268960,"text":"70268960 - 2025 - Atypical winter coat coloration of snowshoe hares near the southern extent of their range","interactions":[],"lastModifiedDate":"2025-07-11T14:45:01.688541","indexId":"70268960","displayToPublicDate":"2025-03-18T07:37:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Atypical winter coat coloration of snowshoe hares near the southern extent of their range","docAbstract":"<p><span>Many species have a variety of adaptations to winter weather, but these adaptations could become maladaptive if winter snowfall and temperatures are more variable. Snowshoe hares (</span><i>Lepus americanus</i><span>) molt from a brown summer coat to a white winter coat, but reductions in snow cover could result in phenotypic mismatch, which in turn could reduce survival. Hare populations near the southern extent of their range might be especially sensitive to phenotypic mismatch because of variable winter weather, but variation in winter coat coloration could allow for these populations to persist in inconsistent snow cover conditions. Using capture data (</span><i>n</i><span> = 59 individual hares) spanning 8 years, we document the prevalence of three atypical winter coat color phenotypes (brown bodies, brown-ringed eyes, and brown ears) in a snowshoe hare population in Pennsylvania. The majority of hares in our study (84.7%) exhibited at least one of these atypical winter phenotypes, with a high probability of hares having brown-ringed eyes or brown ears, and four hares remaining brown during the winter. The presence and high prevalence of non-white winter phenotypes could be beneficial for hares in this population if winters are mild with low snow cover. If these phenotypes have a genetic basis, there may be evolutionary potential for hares to persist near the southern extent of their range, even in the face of changing winters.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70217","usgsCitation":"Gigliotti, L., Boyd, E.S., and Diefenbach, D.R., 2025, Atypical winter coat coloration of snowshoe hares near the southern extent of their range: Ecosphere, v. 16, no. 3, e70217, 7 p., https://doi.org/10.1002/ecs2.70217.","productDescription":"e70217, 7 p.","ipdsId":"IP-170108","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":492471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70217","text":"Publisher Index Page"},{"id":492128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Monroe County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.4944445855176,\n              41.110769966630414\n            ],\n            [\n              -75.4944445855176,\n              40.90104058418078\n            ],\n            [\n              -75.14502818574874,\n              40.90104058418078\n            ],\n            [\n              -75.14502818574874,\n              41.110769966630414\n            ],\n            [\n              -75.4944445855176,\n              41.110769966630414\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Gigliotti, Laura Christine 0000-0002-6390-4133","orcid":"https://orcid.org/0000-0002-6390-4133","contributorId":348259,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Laura Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":942731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Emily S.","contributorId":342971,"corporation":false,"usgs":false,"family":"Boyd","given":"Emily","email":"","middleInitial":"S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":942732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":942733,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274323,"text":"70274323 - 2025 - Leveraging invasive mussel contaminant survey data for stepwise prioritization of chemicals of potential concern in the Great Lakes basin","interactions":[],"lastModifiedDate":"2026-03-26T16:48:00.112596","indexId":"70274323","displayToPublicDate":"2025-03-17T11:37:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging invasive mussel contaminant survey data for stepwise prioritization of chemicals of potential concern in the Great Lakes basin","docAbstract":"<p><span>Historical and ongoing anthropogenic activities coupled with advancements in analytical techniques have led to the detection of large numbers of contaminants in the Laurentian Great Lakes. Consequently, identifying and prioritizing chemicals likely to cause ecological harm represents a challenge for natural resource managers. Previous prioritization efforts have focused on contaminants in sediment, water, and passive samplers, which may not be representative of compounds that bioaccumulate in aquatic organisms. Consequently, this study adopted a stepwise method to prioritize chemicals of potential concern detected in dreissenid mussels from samples collected across the Great Lakes from 2009–2018. The stepwise method considered environmental fate, detection frequency, and exceedance of toxicity quotients based on ecotoxicological effect concentrations. Overall, 153 compounds out of 267 analyzed were detected in dreissenid mussels, 47 of which had water quality effect concentrations, 56 had apical effect concentrations (Tier 1 ECOTOX or apical screening), 17 had nonapical effect concentrations (Tier 2 ECOTOX, Cytotoxic Burst, and ToxCast) and 33 had estimated effect concentrations (quantitative structure-activity relationship, estimated screening, and pharmacological potency). Of the compounds with water quality effect concentrations, nine were designated as high priority, including the herbicide atrazine and five polycyclic aromatic hydrocarbons that were previously identified as potentially hazardous within other matrices. Similar contaminants were identified as high priority in a related study of native unionid mussels in the Great Lakes. A total of 27 compounds were low priority, suggesting that these contaminants do not warrant further action based on this dataset. Overall, these findings will facilitate the development of management strategies to mitigate the effects of contaminants on aquatic organisms within the Great Lakes.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf072","usgsCitation":"Fuller, N., Kimbrough, K., Edwards, M., Maloney, E., Corsi, S., Pronschinske, M.A., DeCicco, L., Frisch, J.R., Baldwin, A.K., Hummel, S.L., Vinas, N., and Villeneuve, D.L., 2025, Leveraging invasive mussel contaminant survey data for stepwise prioritization of chemicals of potential concern in the Great Lakes basin: Environmental Toxicology and Chemistry, v. 44, no. 7, p. 2070-2087, https://doi.org/10.1093/etojnl/vgaf072.","productDescription":"18 p.","startPage":"2070","endPage":"2087","ipdsId":"IP-153495","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science 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